原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
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Stellara MCP

作者:mihnin版本 0.2.2i★ –i电脑或云端
注册名称it.natlex/stellara-mcp

安装

概览

作者提供的说明(英文原文)

Swiss Ephemeris for AI agents: exact natal charts, transits, synastry and birth-place resolution

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 电脑或云端
  • 传输方式: stdio, Streamable HTTP
  • 分类: 设计、图片与音频
  • 你需要填写:STELLARA_API_KEY

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:3 项中通过 2 项
  • 在作者的服务器上运行:你向它提出的内容会经过他们的服务器。
  • 需要你自己填写: STELLARA_API_KEY, STELLARA_API_BASE_URL

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

  • 在云端运行无需安装任何东西,通过互联网连接
  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

适用于网页版、桌面版和手机版 Claude:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://mcp.stellara.natlex.it/mcp

或者在你的电脑上运行

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "stellara": {
      "command": "npx",
      "args": [
        "-y",
        "stellara-mcp"
      ],
      "env": {
        "STELLARA_API_KEY": "your-value",
        "STELLARA_API_BASE_URL": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add --transport http stellara https://mcp.stellara.natlex.it/mcp

或者在你的电脑上运行

claude mcp add stellara --env STELLARA_API_KEY=your-value --env STELLARA_API_BASE_URL=your-value -- npx -y stellara-mcp

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "stellara": {
      "url": "https://mcp.stellara.natlex.it/mcp"
    }
  }
}

或者在你的电脑上运行

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "stellara": {
      "command": "npx",
      "args": [
        "-y",
        "stellara-mcp"
      ],
      "env": {
        "STELLARA_API_KEY": "your-value",
        "STELLARA_API_BASE_URL": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "stellara": {
      "type": "http",
      "url": "https://mcp.stellara.natlex.it/mcp"
    }
  }
}

或者在你的电脑上运行

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "stellara": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "stellara-mcp"
      ],
      "env": {
        "STELLARA_API_KEY": "your-value",
        "STELLARA_API_BASE_URL": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

ChatGPT 只能连接互联网上的服务器:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://mcp.stellara.natlex.it/mcp

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • STELLARA_API_KEY 机密 必填 env
    Stellara API access key (request at https://stellara.natlex.it/#api)
  • STELLARA_API_BASE_URL env
    Override the API base URL (default https://api.stellara.natlex.it/api/v1/astrology)

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

服务器要求先登录,才会列出它的工具。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月9日

  • ! 注意

    作者与仓库一致

    发布者(natlex.it)不是仓库所有者(mihnin);可能是其他人代为上架的

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • ✓ 通过

    端点有响应

    在 187 毫秒内响应(HTTP 401)

  • ✓ 通过

    使用 OAuth 登录

    声明支持 OAuth 登录,你的 AI 应用可以带你去登录

  • … 尚未检查

    工具描述中没有隐藏指令

    尚未检查;我们会在检查端点时读取工具列表

与“设计、图片与音频”中的其他服务器比较i

  • 星标数多于此分类中其他 2813 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 2813 个服务器的 34% 更新
  • 基础检查结果等于或优于此分类中其他 2813 个服务器的 44%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Stellara MCP 安全吗?

它在 3 项适用的基础检查中通过了 2 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

你需要填写:STELLARA_API_KEY

它在我的电脑上运行还是在云端?

两种方式都可以:安装在你的电脑上,或者连接云端版本。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.2.2)于2个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:Figma Context MCP, Claude Real Video, Figma MCP Server

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Figma Context MCP

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

作者:GLips广泛使用↓ 16.1万/周★ 1.6万5个月前更新

在你的电脑上运行

Claude Real Video

Let any LLM watch a video locally — and search everything it has ever watched.

作者:HUANGCHIHHUNGLeo广泛使用↓ 1106/周★ 22842个月前更新

在你的电脑上运行

Figma MCP Server

The Figma MCP server brings Figma design context directly into your AI workflow.

作者:figma广泛使用★ 215213个月前更新

在云端运行✓ mcp.figma.com

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Stellara MCP: Deterministic Swiss Ephemeris for AI Agents (Hermes, Claude, Grok)

Give your AI agent a real astronomical calculator. stellara-mcp is a tiny, open-source Model Context Protocol server that turns any MCP-capable agent — Claude.ai / Claude Desktop / Claude Code, ChatGPT, Codex, Cursor, Windsurf, Gemini CLI, Grok, Hermes — into an astrologer that never invents a planetary position. Connect by URL (no install) or run the package locally with an API key.

It exposes four tools backed by Swiss Ephemeris (the same engine professional astrologers use) running in the Stellara cloud:

ToolWhat you get back (exact JSON)
resolve_birth_place"Warsaw, 14:30" → latitude / longitude, IANA timezone and a tz-aware birth_datetime with the historically correct UTC offset (old DST rules, decree time), plus age and DST-ambiguity flags — so the agent never guesses coordinates or offsets
calculate_natal_chart14 points (Sun → Pluto, Chiron, Lilith, North/South Node) with sign, degree, absolute longitude, house, retrograde, speed, declination · 12 house cusps · Ascendant / MC / Descendant / IC · every major aspect with its exact orb and applying / separating
get_transits_and_aspectsTransiting positions at any moment · every transit-to-natal aspect (planets and angles) with orb and applying / separating · which natal house each transiting planet occupies
calculate_synastryAll inter-chart aspects between two people with exact orbs · house overlays (A's planets in B's houses and vice versa)

Plus two MCP prompts: collect_birth_profile, a guided intake of the data every reading depends on (date → time with certainty → place → optional city, name, gender → confirmation card with age), and astrologer_system_prompt, which switches the agent into a disciplined professional-astrologer style for interpreting that JSON.

The server does not interpret and does not call any LLM. It is a proxy adapter: numbers in, numbers out. Your agent does the reading; Swiss Ephemeris does the math.


Why this exists: LLMs lie about natal charts

Ask a language model "where was my Moon on 17 May 1990 at 14:30 in Warsaw?" and it will answer confidently — and, more often than not, wrongly. Ecliptic longitudes, house cusps and aspect orbs are the output of numerical integration of planetary motion plus spherical trigonometry for the local horizon. That is not something a next-token predictor can do in its head. Typical failure modes:

  • the Moon (13° per day) lands in the wrong sign;
  • the Ascendant is guessed from the Sun sign, ignoring time and latitude;
  • house cusps are fabricated or silently assume Equal houses;
  • "Saturn square Sun" is asserted with no orb, or with an orb that does not exist;
  • retrograde status is invented.

Every one of those errors poisons the whole interpretation that follows. A reading built on a wrong Ascendant is worthless no matter how eloquent it is.

stellara-mcp fixes this at the root. The agent calls a tool; the tool returns Swiss-Ephemeris-grade positions (sub-arcsecond precision, tropical zodiac, ten house systems, exact orbs, applying/separating derived from real planetary speeds); the agent interprets only that data. Deterministic senses, deterministic calculator — the language model is left to do what it is actually good at.


Quick start (1-click configs)

Two ways to connect:

  • Remote, no install (Claude.ai, Claude Desktop, Claude Code, ChatGPT connectors, Grok, any client that takes an MCP URL): add a custom connector with the URL `https://mcp.stellara.natlex.it/mcp` and sign in with your Stellara account (the same account as the Stellara app; Free = 10 requests / day, Stellara Pro = 5 000). Claude: *Settings → Connectors → Add custom connector → paste the URL → Connect → sign in.* Claude Code: claude mcp add --transport http stellara https://mcp.stellara.natlex.it/mcp, then /mcp to sign in. Nothing to install, nothing to configure; tokens are short-lived and can be revoked from the app.
  • Local package + API key (below): for servers, scripts, Cursor / Windsurf / Codex and anyone who prefers a key. Get one at [stellara.natlex.it/#api](https://stellara.natlex.it/#api) — Free (5 requests / day) or Stellara API Pro (5 000 / day, $9 / month), delivered by e-mail within a minute. Then pick your client.

The package runs on Node.js ≥ 18.17 and is launched with npx, so nothing to

install globally. All configs below are the same three lines: command, args, env.

Claude Desktop

Edit claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\):

{

"mcpServers": { "stellara": { "command": "npx", "args": ["-y", "stellara-mcp"], "env": { "STELLARA_API_KEY": "sk_stellara_your_key_here" } } } }

Restart Claude Desktop. The three tools appear under the 🔌 icon; the astrologer_system_prompt prompt appears in the prompts (+) menu.

Hermes Agent Desktop

Add the same block to ~/.hermes/config.json:

{

"mcpServers": { "stellara": { "command": "npx", "args": ["-y", "stellara-mcp"], "env": { "STELLARA_API_KEY": "sk_stellara_your_key_here" } } } }

Hermes discovers the tools on next launch. If your Hermes build uses a different top-level key for MCP servers, keep the command / args / env triple as is — it is the standard stdio launch spec.

Cursor / Windsurf

Cursor: Settings → MCP → Add new global MCP server (or .cursor/mcp.json in a project). Windsurf: Settings → Cascade → MCP servers (or ~/.codeium/windsurf/mcp_config.json). Both take the identical JSON:

{

"mcpServers": { "stellara": { "command": "npx", "args": ["-y", "stellara-mcp"], "env": { "STELLARA_API_KEY": "sk_stellara_your_key_here" } } } }

Any other MCP client (Grok bridges, Continue, Zed, custom agents)

Launch npx -y stellara-mcp as a stdio server with the environment variable STELLARA_API_KEY set. That is the whole integration surface.

From a local clone (for development)
git clone https://github.com/mihnin/stellara-mcp.git

cd stellara-mcp npm install && npm run build

then use "command": "node", "args": ["/absolute/path/to/stellara-mcp/dist/index.js"] in any of the configs above.


Example conversation

User: Build my natal chart — I was born on 17 May 1990 at 14:30 in Warsaw —

and tell me why work feels so heavy today.

Agent *(loads astrologer_system_prompt, asks whether 14:30 is exact or

approximate, calls resolve_birth_place("Warsaw, Poland", "1990-05-17T14:30") →

52.23 / 21.01, Europe/Warsaw, 1990-05-17T14:30:00+02:00, then

calculate_natal_chart with those values, then get_transits_and_aspects for today)*

Your chart is built from Swiss Ephemeris positions, so let's start with what's

actually there. Sun at 26°14' Taurus in the 9th house, Moon at 3°52' Capricorn in

the 4th, Ascendant 8°41' Virgo. The tightest natal aspect is Saturn conjunct

Neptune (orb 0.6°) sitting in your 5th house — a lifelong tension between structure

and drift in creative work.

Why today is heavy: transiting Saturn is squaring your natal Sun with an orb of

1.2° and it is applying, so the pressure is still building toward exact in

about two weeks. Saturn squares to the Sun feel like carrying a backpack of

obligations — output is fine, but everything costs more effort. At the same time

transiting Mars is passing through your natal 6th house of daily work

(Aquarius), conjunct your natal Mercury with a 0.4° orb: fast, irritable, prone to

arguing with tools and colleagues.

Practical read: this is a "finish, don't start" window. Close the two tasks with

deadlines, defer the brainstorming to after the Saturn square separates, and

don't read the Mars–Mercury irritability as a sign that the job is wrong. If you

can, I'd like your birth time to the minute — the Ascendant at 8° Virgo is close

to a sign boundary, and the house placements above depend on it.

Every degree, orb and "applying" in that answer came from a tool result; the interpretation is the agent's. That separation is the entire point.


Tool reference

Chart tools take datetimes as ISO-8601 with a timezone (1990-05-17T14:30:00+02:00 or ...Z); naive values are rejected before any network call. Coordinates are decimal degrees (north / east positive). The intended flow is resolve_birth_place first — it produces exactly those values from what the user actually says.

resolve_birth_place
InputTypeNotes
placestringFree text, any language: Warsaw, Варшава, Springfield, Illinois, USA
local_datetimestring (optional)Local wall-clock time without an offset: 1990-05-17T14:30, or 1990-05-17 if the time is unknown (12:00 assumed and flagged)

Output:

{

"query": "Warsaw", "display_name": "Warszawa, województwo mazowieckie, Polska", "latitude": 52.2333742, "longitude": 21.0711489, "timezone": "Europe/Warsaw", "local_datetime": "1990-05-17T14:30:00", "utc_offset": "+02:00", "birth_datetime": "1990-05-17T14:30:00+02:00", "birth_datetime_utc": "1990-05-17T12:30:00Z", "time_assumed_noon": false, "local_time_ambiguity": "none", "age_years": 36, "source": "nominatim" }

birth_datetime, latitude and longitude go straight into the chart tools. local_time_ambiguity is ambiguous_dst_fallback when the wall time happened twice (autumn clock change) and nonexistent_dst_gap when the clocks skipped it — the agent should ask which one the user means. Offsets come from the IANA tz database, so 1985 Moscow resolves to +04:00 and 2015 Moscow to +03:00. Errors: PLACE_NOT_FOUND (try a larger nearby city / add the country) and GEOCODER_UNAVAILABLE (transient — retry). Geocoding uses OpenStreetMap Nominatim; nothing about the request is stored.

calculate_natal_chart
InputTypeNotes
birth_datetimestringISO-8601 with tz
latitudenumber−90 … 90
longitudenumber−180 … 180
house_systemenumplacidus (default), koch, porphyry, regiomontanus, campanus, equal, whole_sign, topocentric, morinus, alcabitius
include_minor_aspectsbooleandefault false — majors only (conjunction 10°, opposition 10°, trine 8°, square 8°, sextile 6°)

Output (abridged):

{

"input": { "birth_datetime_utc": "1879-03-14T10:30:00Z", "latitude": 48.4011, "longitude": 9.9876, "house_system": "placidus" }, "planets": [ { "name": "Sun", "sign": "Pisces", "degree": 23.498749, "absolute_longitude": 353.498749, "house": 10, "retrograde": false, "speed": 0.995959, "declination": -2.585261 } ], "houses": [ { "house": 1, "sign": "Cancer", "degree": 7.4423, "absolute_longitude": 97.4423 } ], "angles": { "ascendant": {...}, "midheaven": {...}, "descendant": {...}, "imum_coeli": {...} }, "aspects": [ { "point_a": "Sun", "point_b": "Mercury", "aspect": "conjunction", "exact_degrees": 0, "orb": 9.627514, "movement": "separating" } ], "meta": { "engine": "Swiss Ephemeris (kerykeion 5.12.7)", "zodiac": "tropical", "house_system": "placidus", "orbs": {...}, "time_resolution": "minute" } }

get_transits_and_aspects
InputType
natalobject — same fields as calculate_natal_chart
target_datetimestring — ISO-8601 with tz
include_minor_aspectsboolean

Returns natal (the full chart above), target_datetime_utc, transiting_planets (same point shape plus natal_house), and aspects_to_natal:

{ "transiting": "Saturn", "natal": "Sun", "aspect": "square", "exact_degrees": 90, "orb": 1.21, "move

只显示了开头部分;其余内容请在仓库中阅读

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